diff --git a/src/views/ValueForum/components/CreatePostModal.js b/src/views/ValueForum/components/CreatePostModal.js
index 34c78447..41ee02af 100644
--- a/src/views/ValueForum/components/CreatePostModal.js
+++ b/src/views/ValueForum/components/CreatePostModal.js
@@ -73,69 +73,90 @@ const CreatePostModal = ({ isOpen, onClose, onPostCreated }) => {
   // 压缩图片
   const compressImage = (file) => {
     return new Promise((resolve, reject) => {
+      // 检查文件类型
+      if (!file.type.startsWith('image/')) {
+        reject(new Error('请选择图片文件'));
+        return;
+      }
+
       // 检查文件大小（5MB 限制）
       if (file.size > 5 * 1024 * 1024) {
-        toast({
-          title: '图片过大',
-          description: '单张图片不能超过 5MB',
-          status: 'warning',
-          duration: 3000,
-        });
-        reject(new Error('图片过大'));
+        reject(new Error('图片大小不能超过 5MB'));
         return;
       }
 
       const reader = new FileReader();
+
       reader.onload = (e) => {
         const img = new Image();
+
         img.onload = () => {
-          // 创建 canvas 进行压缩
-          const canvas = document.createElement('canvas');
-          let width = img.width;
-          let height = img.height;
+          try {
+            // 创建 canvas 进行压缩
+            const canvas = document.createElement('canvas');
+            let width = img.width;
+            let height = img.height;
 
-          // 如果图片尺寸过大，等比缩放到最大 1920px
-          const maxDimension = 1920;
-          if (width > maxDimension || height > maxDimension) {
-            if (width > height) {
-              height = (height * maxDimension) / width;
-              width = maxDimension;
-            } else {
-              width = (width * maxDimension) / height;
-              height = maxDimension;
+            // 如果图片尺寸过大，等比缩放到最大 1920px
+            const maxDimension = 1920;
+            if (width > maxDimension || height > maxDimension) {
+              if (width > height) {
+                height = (height * maxDimension) / width;
+                width = maxDimension;
+              } else {
+                width = (width * maxDimension) / height;
+                height = maxDimension;
+              }
             }
+
+            canvas.width = width;
+            canvas.height = height;
+
+            const ctx = canvas.getContext('2d');
+            ctx.drawImage(img, 0, 0, width, height);
+
+            // 转换为 JPEG 格式，质量 0.8（压缩）
+            canvas.toBlob(
+              (blob) => {
+                if (!blob) {
+                  reject(new Error('图片压缩失败'));
+                  return;
+                }
+
+                const compressedReader = new FileReader();
+
+                compressedReader.onloadend = () => {
+                  console.log(
+                    `图片压缩: ${(file.size / 1024).toFixed(2)}KB -> ${(blob.size / 1024).toFixed(2)}KB`
+                  );
+                  resolve(compressedReader.result);
+                };
+
+                compressedReader.onerror = () => {
+                  reject(new Error('压缩后图片读取失败'));
+                };
+
+                compressedReader.readAsDataURL(blob);
+              },
+              'image/jpeg',
+              0.8
+            );
+          } catch (error) {
+            reject(new Error(`图片处理失败: ${error.message}`));
           }
-
-          canvas.width = width;
-          canvas.height = height;
-
-          const ctx = canvas.getContext('2d');
-          ctx.drawImage(img, 0, 0, width, height);
-
-          // 转换为 JPEG 格式，质量 0.8（压缩）
-          canvas.toBlob(
-            (blob) => {
-              const compressedReader = new FileReader();
-              compressedReader.onloadend = () => {
-                console.log(
-                  `图片压缩: ${(file.size / 1024).toFixed(2)}KB -> ${(blob.size / 1024).toFixed(2)}KB`
-                );
-                resolve(compressedReader.result);
-              };
-              compressedReader.readAsDataURL(blob);
-            },
-            'image/jpeg',
-            0.8
-          );
         };
+
         img.onerror = () => {
           reject(new Error('图片加载失败'));
         };
+
         img.src = e.target.result;
       };
+
       reader.onerror = () => {
         reject(new Error('文件读取失败'));
       };
+
       reader.readAsDataURL(file);
     });
   };
@@ -144,6 +165,9 @@ const CreatePostModal = ({ isOpen, onClose, onPostCreated }) => {
   const handleImageUpload = async (e) => {
     const files = Array.from(e.target.files);
 
+    // 清空 input 以支持重复上传同一文件
+    e.target.value = '';
+
     if (files.length === 0) return;
 
     // 检查总数量限制
@@ -157,27 +181,42 @@ const CreatePostModal = ({ isOpen, onClose, onPostCreated }) => {
       return;
     }
 
-    try {
-      // 压缩所有图片
-      const compressedImages = await Promise.all(
-        files.map((file) => compressImage(file))
-      );
+    // 逐个处理图片，而不是使用 Promise.all
+    const compressedImages = [];
+    let hasError = false;
 
-      // 添加到表单数据
+    for (let i = 0; i < files.length; i++) {
+      try {
+        const compressed = await compressImage(files[i]);
+        compressedImages.push(compressed);
+      } catch (error) {
+        console.error('图片压缩失败:', error);
+        hasError = true;
+        toast({
+          title: '图片处理失败',
+          description: error.message || `第 ${i + 1} 张图片处理失败`,
+          status: 'error',
+          duration: 3000,
+        });
+        break; // 遇到错误就停止
+      }
+    }
+
+    // 如果有成功压缩的图片，添加到表单
+    if (compressedImages.length > 0) {
       setFormData((prev) => ({
         ...prev,
         images: [...prev.images, ...compressedImages],
       }));
 
-      toast({
-        title: '上传成功',
-        description: `成功添加 ${files.length} 张图片`,
-        status: 'success',
-        duration: 2000,
-      });
-    } catch (error) {
-      console.error('图片上传失败:', error);
-      // 已经在 compressImage 中显示了具体错误
+      if (!hasError) {
+        toast({
+          title: '上传成功',
+          description: `成功添加 ${compressedImages.length} 张图片`,
+          status: 'success',
+          duration: 2000,
+        });
+      }
     }
   };